site_name: Instructor
site_author: Jason Liu
site_description: A lightweight library for structured outputs with LLMs. 
repo_name: instructor
repo_url: https://github.com/jxnl/instructor/
site_url: https://python.useinstructor.com/ 
edit_uri: edit/main/docs/
copyright: Copyright &copy; 2024 Jason Liu 
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# Extensions
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nav:
  - Introduction: 
    - Welcome To Instructor: 'index.md'
    - Why use Instructor?: 'why.md'
    - Help with Instructor: 'help.md'
    - Installation: 'installation.md'
    - Contributing: 'contributing.md'
    - Philosophy: 'concepts/philosophy.md'
  - Cookbook:
    - Cookbooks: 'examples/index.md'
    - Text Classification: 'examples/classification.md'
    - Batch Classification (User Defined): 'examples/batch_classification.md'
    - LLM Self Critique: 'examples/self_critique.md'
    - Extracting Tables with GPT-V: 'examples/extracting_tables.md'
    - Extracting From Slides with GPT-V: 'examples/extract_slides.md'
    - Content Moderation: 'examples/moderation.md'
    - Citing Sources (RAG): 'examples/exact_citations.md'
    - Extracting Knowledge Graphs: 'examples/knowledge_graph.md'
    - Extracting Complex Entities: 'examples/entity_resolution.md'
    - Expanding Search Queries (RAG): 'examples/search.md'
    - Query Planning (RAG): 'examples/planning-tasks.md'
    - PII Data Sanitization: 'examples/pii.md'
    - Enabling Open Source Models: 'examples/open_source.md'
    - Image to Ad Copy: 'examples/image_to_ad_copy.md'
    - Ollama: 'examples/ollama.md'
    - SQLModel Integration: 'examples/sqlmodel.md'
    - Including Examples in Prompt: 'examples/examples.md'
    - Document Segmentation: 'examples/document_segmentation.md'
    - IBM watsonx.ai: 'examples/watsonx.md'
  - Blog:
    - "blog/index.md"
  - Concepts:
    - Models: 'concepts/models.md'
    - Fields: 'concepts/fields.md'
    - Types: 'concepts/types.md'
    - Validators: "concepts/reask_validation.md"
    - Usage Tokens: 'concepts/usage.md'
    - Missing: "concepts/maybe.md"
    - Patching: 'concepts/patching.md'
    - Retrying: 'concepts/retrying.md'
    - Parallel Tools: 'concepts/parallel.md'
    - Stream Iterable: "concepts/lists.md"
    - Stream Partial: "concepts/partial.md"
    - Raw Response: 'concepts/raw_response.md'
    - FastAPI: 'concepts/fastapi.md'
    - Caching: 'concepts/caching.md'
    - Logging: 'concepts/logging.md'
    - Distillation: "concepts/distillation.md"
    - Union: 'concepts/union.md'
    - Alias: 'concepts/alias.md'
    - Enums: 'concepts/enums.md'
    - Type Adapter: 'concepts/typeadapter.md'
  - Hub:
    - Introducing Instructor Hub: 'hub/index.md'
    - Single Classification Model: 'hub/single_classification.md'
    - Multiple Classification Model: 'hub/multiple_classification.md'
    - Extracting Tables using GPT-V: 'hub/tables_from_vision.md'
    - Extract Pandas Dataframes: 'hub/pandas_df.md'
    - Using Ollama: 'hub/ollama.md'
    - Using Llama CPP: 'hub/llama-cpp-python.md'
    - Using Together Compute: 'hub/together.md'
    - Using Anyscale: 'hub/anyscale.md'
    - Using Groq: 'hub/groq.md'
    - Using Mistral: 'hub/mistral.md'
    - Using Cohere: 'hub/cohere.md'
    - Batch Async Classification w/ Langsmith: 'hub/batch_classification_langsmith.md'
    - Action Items: 'hub/action_items.md'
    - Partial Streaming: 'hub/partial_streaming.md'
    - Extract Contact Info: 'hub/extract_contact_info.md'
    - Using Mistral Large: 'hub/mistral.md'
    - Knowledge Graphs: 'hub/knowledge_graph.md'
    - Extract Youtube Clips: "hub/youtube_clips.md"
    - Knowledge Graphs: 'tutorials/5-knowledge-graphs.ipynb'
  - CLI Reference:
      - "CLI Reference": "cli/index.md"
      - "Finetuning GPT-3.5": "cli/finetune.md"
      - "Usage Tracking": "cli/usage.md"
  - Tutorials:
    - Tutorials (Notebooks): 'tutorials/1-introduction.ipynb'
    - Tips and Tricks: 'tutorials/2-tips.ipynb'
    - Applications RAG: 'tutorials/3-0-applications-rag.ipynb'
    - Applications RAG - 2: 'tutorials/3-1-validation-rag.ipynb'
    - Validation: 'tutorials/4-validation.ipynb'
  
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